# Load model directly
from transformers import AutoTokenizer, AutoModelForQuestionAnswering
tokenizer = AutoTokenizer.from_pretrained("Intel/tiny-random-bert_ipex_model")
model = AutoModelForQuestionAnswering.from_pretrained("Intel/tiny-random-bert_ipex_model")Quick Links
Model Card for Model ID
This is a tiny random bert model. It was uploaded by IPEXModelForQuestionAnswering.
from optimum.intel import IPEXModelForQuestionAnswering
model = IPEXModelForQuestionAnswering.from_pretrained("Intel/tiny-random-bert")
model.push_to_hub("Intel/tiny-random-bert_ipex_model")
This is useful for functional testing (not quality generation, since its weights are random) on optimum-intel
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Intel/tiny-random-bert_ipex_model")